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DBMS > Dolt vs. eXtremeDB vs. JanusGraph vs. Prometheus

System Properties Comparison Dolt vs. eXtremeDB vs. JanusGraph vs. Prometheus

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisoneXtremeDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaNatively in-memory DBMS with options for persistency, high-availability and clusteringA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Open-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Graph DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.mcobject.comjanusgraph.orgprometheus.io
Technical documentationdocs.dolthub.comwww.mcobject.com/­docs/­extremedb.htmdocs.janusgraph.orgprometheus.io/­docs
DeveloperDoltHub IncMcObjectLinux Foundation; originally developed as Titan by Aurelius
Initial release2018200120172015
Current release8.2, 20210.6.3, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++JavaGo
Server operating systemsLinux
macOS
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono infosupport of XML interfaces availablenono infoImport of XML data possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesyes infowith the option: eXtremeSQLnono
APIs and other access methodsCLI Client
HTTP REST
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP/JSON API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
Clojure
Java
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseyesyesno
Triggersyesyes infoby defining eventsyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning / shardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Active Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yesyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
none
Foreign keys infoReferential integrityyesyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupUser authentification and security via Rexster Graph Serverno
More information provided by the system vendor
DolteXtremeDBJanusGraph infosuccessor of TitanPrometheus
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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DolteXtremeDBJanusGraph infosuccessor of TitanPrometheus
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